Optimal Control of a Nonlinear Elliptic Problem With Missing Data

  •  Thomas Tindano    
  •  Sadou Tao    
  •  Somdouda Sawadogo    


In this work, we give a characterization of the control for ill-posed problems. We propose the regularization method which consists in improving the data in order to obtain a well-posed problems. As the problem is nonlinear, we will use the adapted low-regret control method in order to be able to respectively determine the charaterization of the low-regret and no-regret control of the problem.

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